The Trauma THOMPSON Challenge @ MICCAI 2023 - Call for Papers
Dear BME students! Please see below this unique opportunity! This time, and as a unique opportunity, BME will provide a stipend of $500 to support students to compete in this challenge at MICCAI 2023 (in Canada). BME will limit this support to the first 2 students that register and participate in the challenge. So, the earlier that you register, the higher your chance to get this stipend! For more information, see below the CFP. If you have any questions, please ask Prof. Juan Wachs (jpwachs@purdue.edu<mailto:jpwachs@purdue.edu>) Thank you! Subject: The Trauma THOMPSON Challenge @ MICCAI 2023 - Call for Papers Hi everyone, We cordially welcome and invite you to take part in The Trauma THOMPSON Challenge at MICCAI 2023, which will be held in Vancouver, BC on October 12, 2023. ***************************************************************** Event: The Trauma THOMPSON Challenge Location: Co-located with MICCAI 2023 (Satellite Event) Date: October 12, 2023 TIME: AM Session Abstract Submission Deadline: September 8th, 2023 Paper Submission Deadline: September 15th, 2023 Challenge Website: https://thompson-challenge.grand-challenge.org<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fthompson-challenge.grand-challenge.org%2F&data=05%7C01%7Cbmegradstudents-list%40ecn.purdue.edu%7C32d8498c001c419850e308db8c437203%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638257993524841033%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=gQCeL18%2BAJ6aZjscQ69LBbjOLjkZlSXZwN%2BzBQCeb2g%3D&reserved=0> ***************************************************************** Challenge Overview The primary goal of The Trauma THOMPSON Challenge is to find the best algorithms for automatic action recognition and prediction using computer vision from first-person view in the medical domain (refer to egocentric datasets of medical procedures). We offer the first egocentric view dataset of life-saving intervention (LSI) procedures with detailed annotations by medical professionals. We have collected over 200 procedure videos with environment, simulator, and type variability. Based on this dataset, the challenge we propose involves multiple tasks to encourage participants across the globe to design impactful algorithms with applications to medicine. The envisioned algorithms include action recognition, action anticipation, procedure recognition, and visual question answering (VQA). The challenge participation details are available on our challenge website<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fthompson-challenge.grand-challenge.org%2F&data=05%7C01%7Cbmegradstudents-list%40ecn.purdue.edu%7C32d8498c001c419850e308db8c437203%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638257993524841033%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=gQCeL18%2BAJ6aZjscQ69LBbjOLjkZlSXZwN%2BzBQCeb2g%3D&reserved=0>. Call for Participation and Papers There will be 2 tracks for this challenge and a total of 4 challenge tasks. All accepted papers will be included in the MICCAI challenge proceedings (Lecture Notes in Computer Science (LNCS) volume in the challenges subline). We have a leaderboard for each task and submitting a paper (min 4 pages, max 12 pages, LNCS format) is mandatory for a corresponding submission in any task to be eligible in the official ranking. ● Track 1 o Task 1: Action Recognition o Task 2: Action Anticipation o Task 3: Procedure Recognition ● Track 2 o Task 1: Visual Question Answering We have prizes for top performing teams in each task and the best paper award. The details are available on our challenge website<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fthompson-challenge.grand-challenge.org%2F&data=05%7C01%7Cbmegradstudents-list%40ecn.purdue.edu%7C32d8498c001c419850e308db8c437203%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638257993524841033%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=gQCeL18%2BAJ6aZjscQ69LBbjOLjkZlSXZwN%2BzBQCeb2g%3D&reserved=0>. Important Dates ● Train data release: 11:59 PM EST, Jul. 6th, 2023 ● Test data release: 11:59 PM EST, Aug. 15th, 2023 ● Participation declaration form deadline: 11:59 PM EST, Aug. 25th, 2023 (Data confidentiality agreement required) - All teams must enter before this date! ● Deadline for results submission: 11:59 PM EST, Sep. 1st, 2023 ● Submit your inference code + checkpoint: 11:59 PM EST, Sep. 5th, 2023 ● Abstract submission: 11:59 PM EST, Sep. 8th, 2023 ● Full Paper submission deadline: 11:59 PM EST, Sep. 15th, 2023 ● Winner announcement: 11:59 PM EST, Sep. 22nd, 2023 ● Conference date: AM session, Oct. 8th, 2023 Organizing Committee ● Nina Jiang, Purdue University ● Yupeng Zhuo, Purdue University ● Juan Wachs, Purdue University ● Andrew W. Kirkpatrick, University of Calgary ● Jessica McKee, University of Calgary ● Kyle Couperus, The Geneva Foundation ● Christopher Colombo, The Geneva Foundation ● Eleanor Birch, Madigan Army Medical Center ● Chad Gorbatkin, Madigan Army Medical Center ● Oanh Tran, The Geneva Foundation ● Jonah Beck, The Geneva Foundation ● DeAnna DeVane, The Geneva Foundation Contact If you have any questions about the Trauma THOMPSON Challenge, please email Nina Jiang (jiang841@purdue.edu<mailto:jiang841@purdue.edu>), Yupeng Zhuo (zhuoy@purdue.edu<mailto:zhuoy@purdue.edu>), and Oanh Tran (otran@genevausa.org<mailto:otran@genevausa.org>). ***Disclaimers: The views expressed are those of the author(s) and do not reflect the official policy of the Department of the Army, the Department of Defense, or the U.S. Government. Juan P. Wachs, Ph.D. Professor, (Currently Program Director at the National Science Foundation) Faculty Scholar Adjunct Professor of Surgery, IU School of Medicine Professor of Biomedical Engineering (by courtesy) School of Industrial Engineering Purdue University 315 N. Grant Street West Lafayette, IN 47907 765 496-7380 (tel) 765 494-1299 (fax) http://web.ics.purdue.edu/~jpwachs/
participants (1)
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Gelfand, Johanna K